the how and the why of caring about open science

Phill Jones, PhDHead of Publisher Outreach

Digital Science

@digitalsci@phillbjones

p.jones@digital-science.com

“The publisher’s new job is to support researchers at every stage of the research cycle” Annette Thomas

Utopia-Thomas Moore1516

Data and as research output

Citable and engaged with

Web of contextual references

Narrative as supplement to data

Open Science ≠ Open Access

A body of work begins with an idea and ends when the impact of that idea has been maximized.

Institutional/funding needs

Research management software, reporting

Personal ImpactAltmetrics, Author profiles

Documentation of findingsPublications, Open data

Doing the ResearchDigital Notebooks, Lab Management Software

Getting an IdeaReference Managers, Social Reading

Barend Mons talking about the ‘European Open Science Cloud’ at APE in January 2016

http://river-valley.zeeba.tv/media/conferences/ape-2016/0101-Barend-Mons/

The internet is transforming research and collaboration

Science is Increasingly International

Source: ‘The Fourth Age of Research’ by Jonathan Adams, Nature 497, 557-560

Source: Nature News, 19th December 2013http://www.nature.com/news/scientists-losing-data-at-a-rapid-rate-1.14416

“Investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections and other supporting materials created or gathered in the course of work under NSF grants”

http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/aag_6.jsp#VID4

“NEH is committed to timely and rapid data distribution”

http://www.neh.gov/files/grants/data_management_plans_2012.pdf

Publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner.

http://www.rcuk.ac.uk/research/DataPolicy/

Valen, Dan; Blanchat, Kelly (2015): Overview of OSTP Responses. figshare.https://dx.doi.org/10.6084/m9.figshare.1367165.v7

January 2015 - according to Sherpa Juliet, 34 funders required data archiving, 16 encourage it

UK funder data archiving policies

US Governmental funders mandating data deposits

Everybody needs a place to put their data (and the means to organize it)

Two approaches to data repositories

Structured• Data is curated and standards are enforced• Data is gathered with the aim of creating a

super-data set• Easily machine readable• Examples: Genbank, HEASARC

Unstructured• All data types can be stored• Varying degrees of curation• Institutional, publisher, non-profit and private

offerings• Not necessarily machine readable• Examples: Figshare, Dryad, zenodo, Pure

}Traditional Point of

Contact

Original Idea

Perform Research

Write Article

Submit

Reviews and Revisions

Point of Publication

Maximize Impact

Share Information

Upstream Engagement• Collaborative Authorship• Community Services• Predictive data

Downstream Engagement• COUNTER / usage stats• Altmetrics• Data publishing

Symplectic

From the bench compliance

Data TypeFundrefGRIDORCID

Digital Lab Notebook

Repository Aggregator

Integrated into workflowIntuitive

Thanks.Anyquestions?

@phillbjonesp.jones@digital-science.com